{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\dell\Desktop\7.28all64.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}28 Jul 2022, 23:06:49

{com}. xthreg rjco2  fd es ts tp , rx( fdi ) qx( rjgdp ) thnum(3) bs(300 300 300) trim(0.01 0.01 0.01) grid(100) r
{res}{txt}Estimating  the  threshold  parameters: {txt}  1st ......{txt}  2nd ......{txt}  3rd ......{txt}  Done
{txt}Boostrap for single threshold
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +   50
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  100
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  150
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  200
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  250
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  300
{txt}Boostrap for double threshold model:
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +   50
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  100
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  150
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  200
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  250
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  300
{txt}Boostrap for triple threshold model:
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +   50
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  100
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  150
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  200
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  250
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  300

Threshold estimator (level = 95):
{res}{txt}{space 0}{hline 11}{c  TT}{hline 14}{hline 14}{hline 13}
{space 0}{space 0}{ralign 10:model}{space 1}{c |}{space 1}{ralign 12:Threshold}{space 1}{space 1}{ralign 12:Lower}{space 1}{space 1}{ralign 12:Upper}{space 0}
{space 0}{hline 11}{c   +}{hline 14}{hline 14}{hline 13}
{space 0}{space 0}{ralign 10:Th-1}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      2.7339}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.6768}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.7610}}}{space 0}
{space 0}{space 0}{ralign 10:Th-21}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      2.7339}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.6768}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.7610}}}{space 0}
{space 0}{space 0}{ralign 10:Th-22}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      4.6676}}}{space 1}{space 1}{ralign 12:{res:{sf:      4.6007}}}{space 1}{space 1}{ralign 12:{res:{sf:      4.6995}}}{space 0}
{space 0}{space 0}{ralign 10:Th-3}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      3.1672}}}{space 1}{space 1}{ralign 12:{res:{sf:      3.1574}}}{space 1}{space 1}{ralign 12:{res:{sf:      3.1833}}}{space 0}
{space 0}{hline 11}{c  BT}{hline 14}{hline 14}{hline 13}

Threshold effect test (bootstrap = 300 300 300):
{res}{txt}{space 0}{hline 11}{c  TT}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}
{space 0}{space 0}{ralign 10:Threshold}{space 1}{c |}{space 1}{ralign 9:RSS}{space 1}{space 1}{ralign 9:MSE}{space 1}{space 1}{ralign 9:Fstat}{space 1}{space 1}{ralign 6:Prob}{space 1}{space 1}{ralign 7:Crit10}{space 1}{space 1}{ralign 7:Crit5}{space 1}{space 1}{ralign 7:Crit1}{space 0}
{space 0}{hline 11}{c   +}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}
{space 0}{space 0}{ralign 10:Single}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  20.9886}}}{space 1}{space 1}{ralign 9:{res:{sf:   0.0106}}}{space 1}{space 1}{ralign 9:{res:{sf:    95.78}}}{space 1}{space 1}{ralign 6:{res:{sf:0.0033}}}{space 1}{space 1}{ralign 7:{res:{sf:43.7356}}}{space 1}{space 1}{ralign 7:{res:{sf:52.3671}}}{space 1}{space 1}{ralign 7:{res:{sf:76.6581}}}{space 0}
{space 0}{space 0}{ralign 10:Double}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  20.5433}}}{space 1}{space 1}{ralign 9:{res:{sf:   0.0104}}}{space 1}{space 1}{ralign 9:{res:{sf:    42.92}}}{space 1}{space 1}{ralign 6:{res:{sf:0.0833}}}{space 1}{space 1}{ralign 7:{res:{sf:41.0415}}}{space 1}{space 1}{ralign 7:{res:{sf:48.6345}}}{space 1}{space 1}{ralign 7:{res:{sf:71.2689}}}{space 0}
{space 0}{space 0}{ralign 10:Triple}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  20.4803}}}{space 1}{space 1}{ralign 9:{res:{sf:   0.0103}}}{space 1}{space 1}{ralign 9:{res:{sf:     6.10}}}{space 1}{space 1}{ralign 6:{res:{sf:0.9300}}}{space 1}{space 1}{ralign 7:{res:{sf:52.1056}}}{space 1}{space 1}{ralign 7:{res:{sf:67.0765}}}{space 1}{space 1}{ralign 7:{res:{sf:94.9607}}}{space 0}
{space 0}{hline 11}{c  BT}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}

Fixed-effects (within) regression               Number of obs      = {res}     2010
{txt}Group variable: {res}id                              {txt}Number of groups   = {res}       67

{txt}R-sq:  within  = {res}0.3719                         {txt}Obs per group: min = {res}       30
{txt}       between = {res}0.0151                                        {txt}avg = {res}     30.0
{txt}       overall = {res}0.0188                                        {txt}max = {res}       30

                                                {txt}F({res}8{txt},{res}66{txt})            = {res}    13.82
{txt}corr(u_i, Xb)  = {res}-0.6355                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:67} clusters in id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       rjco2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}fd {c |}{col 14}{res}{space 2} .2375864{col 26}{space 2} .0583447{col 37}{space 1}    4.07{col 46}{space 3}0.000{col 54}{space 4} .1210975{col 67}{space 3} .3540754
{txt}{space 10}es {c |}{col 14}{res}{space 2} .3524386{col 26}{space 2} .1392241{col 37}{space 1}    2.53{col 46}{space 3}0.014{col 54}{space 4} .0744687{col 67}{space 3} .6304086
{txt}{space 10}ts {c |}{col 14}{res}{space 2}-.0243533{col 26}{space 2}   .07175{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-.1676068{col 67}{space 3} .1189001
{txt}{space 10}tp {c |}{col 14}{res}{space 2} .5503908{col 26}{space 2} .1625151{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .2259189{col 67}{space 3} .8748626
{txt}{space 12} {c |}
{space 2}_cat#c.fdi {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .1159611{col 26}{space 2} .0351775{col 37}{space 1}    3.30{col 46}{space 3}0.002{col 54}{space 4} .0457271{col 67}{space 3} .1861952
{txt}{space 10}1  {c |}{col 14}{res}{space 2} -.007873{col 26}{space 2} .0228913{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4} -.053577{col 67}{space 3}  .037831
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0182059{col 26}{space 2} .0115734{col 37}{space 1}    1.57{col 46}{space 3}0.120{col 54}{space 4}-.0049012{col 67}{space 3}  .041313
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0869436{col 26}{space 2} .0198724{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-.1266201{col 67}{space 3} -.047267
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -4.33634{col 26}{space 2} 1.129998{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-6.592454{col 67}{space 3}-2.080226
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .75606418
     {txt}sigma_e {c |} {res} .10292509
         {txt}rho {c |} {res} .98180507{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. xthreg rjco2  fd es ts tp , rx( fdi ) qx( rjgdp ) thnum(2) bs( 300 300) trim( 0.01 0.01) grid(100) r
{res}{txt}Estimating  the  threshold  parameters: {txt}  1st ......{txt}  2nd ......{txt}  Done
{txt}Boostrap for single threshold
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +   50
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  100
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  150
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  200
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  250
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  300
{txt}Boostrap for double threshold model:
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +   50
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  100
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  150
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  200
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  250
{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}.{txt}. +  300

Threshold estimator (level = 95):
{res}{txt}{space 0}{hline 11}{c  TT}{hline 14}{hline 14}{hline 13}
{space 0}{space 0}{ralign 10:model}{space 1}{c |}{space 1}{ralign 12:Threshold}{space 1}{space 1}{ralign 12:Lower}{space 1}{space 1}{ralign 12:Upper}{space 0}
{space 0}{hline 11}{c   +}{hline 14}{hline 14}{hline 13}
{space 0}{space 0}{ralign 10:Th-1}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      2.7339}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.6768}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.7610}}}{space 0}
{space 0}{space 0}{ralign 10:Th-21}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      2.7339}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.6768}}}{space 1}{space 1}{ralign 12:{res:{sf:      2.7610}}}{space 0}
{space 0}{space 0}{ralign 10:Th-22}{space 1}{c |}{space 1}{ralign 12:{res:{sf:      4.6676}}}{space 1}{space 1}{ralign 12:{res:{sf:      4.6007}}}{space 1}{space 1}{ralign 12:{res:{sf:      4.6995}}}{space 0}
{space 0}{hline 11}{c  BT}{hline 14}{hline 14}{hline 13}

Threshold effect test (bootstrap = 300 300):
{res}{txt}{space 0}{hline 11}{c  TT}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}
{space 0}{space 0}{ralign 10:Threshold}{space 1}{c |}{space 1}{ralign 9:RSS}{space 1}{space 1}{ralign 9:MSE}{space 1}{space 1}{ralign 9:Fstat}{space 1}{space 1}{ralign 6:Prob}{space 1}{space 1}{ralign 7:Crit10}{space 1}{space 1}{ralign 7:Crit5}{space 1}{space 1}{ralign 7:Crit1}{space 0}
{space 0}{hline 11}{c   +}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}
{space 0}{space 0}{ralign 10:Single}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  20.9886}}}{space 1}{space 1}{ralign 9:{res:{sf:   0.0106}}}{space 1}{space 1}{ralign 9:{res:{sf:    95.78}}}{space 1}{space 1}{ralign 6:{res:{sf:0.0000}}}{space 1}{space 1}{ralign 7:{res:{sf:38.8445}}}{space 1}{space 1}{ralign 7:{res:{sf:50.4627}}}{space 1}{space 1}{ralign 7:{res:{sf:72.6830}}}{space 0}
{space 0}{space 0}{ralign 10:Double}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  20.5433}}}{space 1}{space 1}{ralign 9:{res:{sf:   0.0104}}}{space 1}{space 1}{ralign 9:{res:{sf:    42.92}}}{space 1}{space 1}{ralign 6:{res:{sf:0.0633}}}{space 1}{space 1}{ralign 7:{res:{sf:37.6762}}}{space 1}{space 1}{ralign 7:{res:{sf:44.9467}}}{space 1}{space 1}{ralign 7:{res:{sf:61.1359}}}{space 0}
{space 0}{hline 11}{c  BT}{hline 11}{hline 11}{hline 11}{hline 8}{hline 9}{hline 9}{hline 8}

Fixed-effects (within) regression               Number of obs      = {res}     2010
{txt}Group variable: {res}id                              {txt}Number of groups   = {res}       67

{txt}R-sq:  within  = {res}0.3701                         {txt}Obs per group: min = {res}       30
{txt}       between = {res}0.0149                                        {txt}avg = {res}     30.0
{txt}       overall = {res}0.0186                                        {txt}max = {res}       30

                                                {txt}F({res}7{txt},{res}66{txt})            = {res}    16.22
{txt}corr(u_i, Xb)  = {res}-0.6344                        {txt}Prob > F           =    {res}0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:67} clusters in id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       rjco2{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}fd {c |}{col 14}{res}{space 2} .2368914{col 26}{space 2}  .057819{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .1214521{col 67}{space 3} .3523307
{txt}{space 10}es {c |}{col 14}{res}{space 2} .3470948{col 26}{space 2} .1411692{col 37}{space 1}    2.46{col 46}{space 3}0.017{col 54}{space 4} .0652414{col 67}{space 3} .6289481
{txt}{space 10}ts {c |}{col 14}{res}{space 2} -.026977{col 26}{space 2} .0719521{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.1706341{col 67}{space 3}   .11668
{txt}{space 10}tp {c |}{col 14}{res}{space 2} .5472673{col 26}{space 2} .1615353{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .2247516{col 67}{space 3}  .869783
{txt}{space 12} {c |}
{space 2}_cat#c.fdi {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .1180684{col 26}{space 2} .0356066{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .0469775{col 67}{space 3} .1891592
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .0122958{col 26}{space 2} .0113714{col 37}{space 1}    1.08{col 46}{space 3}0.284{col 54}{space 4}-.0104079{col 67}{space 3} .0349996
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0887744{col 26}{space 2} .0196135{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.1279341{col 67}{space 3}-.0496148
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-4.300068{col 26}{space 2} 1.122888{col 37}{space 1}   -3.83{col 46}{space 3}0.000{col 54}{space 4}-6.541986{col 67}{space 3} -2.05815
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} .75525276
     {txt}sigma_e {c |} {res} .10304757
         {txt}rho {c |} {res} .98172404{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}

{com}. log close
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